Dan Boneh Cryptography Professor, Professor of Electrical Engineering and Senior Fellow at the Freeman Spogli Institute for International Studies Computer Science

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Dan Boneh Cryptography Professor, Professor of Electrical Engineering and Senior Fellow at the Freeman Spogli Institute for International Studies Computer Science CONTACT INFORMATION • Administrator Ruth Harris - Administrative Associate Email [email protected] Tel (650) 723-1658 Bio BIO Professor Boneh heads the applied cryptography group and co-direct the computer security lab. Professor Boneh's research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997. ACADEMIC APPOINTMENTS • Professor, Computer Science • Professor, Electrical Engineering • Senior Fellow, Freeman Spogli Institute for International Studies HONORS AND AWARDS • ACM prize, ACM (2015) • Simons investigator, Simons foundation (2015) • Godel prize, ACM (2013) • IACR fellow, IACR (2013) 4 OF 6 PROFESSIONAL EDUCATION • PhD, Princeton (1996) LINKS • http://crypto.stanford.edu/~dabo: http://crypto.stanford.edu/~dabo Page 1 of 2 Dan Boneh http://cap.stanford.edu/profiles/Dan_Boneh/ Teaching COURSES 2021-22 • Computer and Network Security: CS 155 (Spr) • Cryptocurrencies and blockchain technologies: CS 251 (Aut) • Introduction to Cryptography: CS 255 (Win) 2020-21 • Computer and Network Security: CS 155 (Spr) • Cryptocurrencies and blockchain technologies: CS 251 (Aut) 2019-20 • Computer and Network Security: CS 155 (Spr) 2018-19 • Computer and Network Security: CS 155 (Spr) STANFORD ADVISEES Doctoral Dissertation Reader (AC) Charis Charitsis, Mehrad Moradshahi, Joachim Neu, Kavya Sreedhar Postdoctoral Faculty Sponsor Ronald Robertson Doctoral Dissertation Advisor (AC) Sergio Benitez, Tina White Doctoral Dissertation Co-Advisor (AC) Keller Blackwell, Alex Ozdemir 4 OF 6 Publications PUBLICATIONS • Falcon — A Flexible Architecture For Accelerating Cryptography 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) Kiningham, K., Levis, P., Anderson, M., Boneh, D., Horowitz, M., Shih, M. 2019 • A Secure Signature Scheme from Bilinear Maps. Boneh, D., Mironov, I., Shoup, V. • Collusion Resistant Broadcast Encryption With Short Ciphertexts and Private Keys. Boneh, D., Gentry, C., Waters, B. • A Method for Fast Revocation of Public Key Certificates and Security Capabilities. Boneh, D., Ding, X., Tsudik, G., Wong, M. 4 OF 222 Page 2 of 2.

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AMERICAN MATHEMATICAL SOCIETY Research in Collegiate Mathematics Education. V Annie Selden, Tennessee Technological University, Cookeville, Ed Dubinsky, Kent State University, OH, Guershon Hare I, University of California San Diego, La jolla, and Fernando Hitt, C/NVESTAV, Mexico, Editors This volume presents state-of-the-art research on understanding, teaching, and learning mathematics at the post-secondary level. The articles are peer-reviewed for two major features: (I) advancing our understanding of collegiate mathematics education, and (2) readability by a wide audience of practicing mathematicians interested in issues affecting their students. This is not a collection of scholarly arcana, but a compilation of useful and informative research regarding how students think about and learn mathematics. This series is published in cooperation with the Mathematical Association of America. CBMS Issues in Mathematics Education, Volume 12; 2003; 206 pages; Softcover; ISBN 0-8218-3302-2; List $49;AII individuals $39; Order code CBMATH/12N044 MATHEMATICS EDUCATION Also of interest .. RESEARCH: AGul<lelbrthe Mathematics Education Research: Hothomatldan- A Guide for the Research Mathematician --lllll'tj.M...,.a.,-- Curtis McKnight, Andy Magid, and -- Teri J. Murphy, University of Oklahoma, Norman, and Michelynn McKnight, Norman, OK 2000; I 06 pages; Softcover; ISBN 0-8218-20 16-8; List $20;AII AMS members $16; Order code MERN044 Teaching Mathematics in Colleges and Universities: Case Studies for Today's Classroom Graduate Student Edition Faculty
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A Decade of Lattice Cryptography
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The Best Nurturers in Computer Science Research
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Algebraic Pseudorandom Functions with Improved Efficiency from the Augmented Cascade*
Algebraic Pseudorandom Functions with Improved Efficiency from the Augmented Cascade* DAN BONEH† HART MONTGOMERY‡ ANANTH RAGHUNATHAN§ Department of Computer Science, Stanford University fdabo,hartm,[email protected] September 8, 2020 Abstract We construct an algebraic pseudorandom function (PRF) that is more efficient than the classic Naor- Reingold algebraic PRF. Our PRF is the result of adapting the cascade construction, which is the basis of HMAC, to the algebraic settings. To do so we define an augmented cascade and prove it secure when the underlying PRF satisfies a property called parallel security. We then use the augmented cascade to build new algebraic PRFs. The algebraic structure of our PRF leads to an efficient large-domain Verifiable Random Function (VRF) and a large-domain simulatable VRF. 1 Introduction Pseudorandom functions (PRFs), first defined by Goldreich, Goldwasser, and Micali [GGM86], are a fun- damental building block in cryptography and have numerous applications. They are used for encryption, message integrity, signatures, key derivation, user authentication, and many other cryptographic mecha- nisms. Beyond cryptography, PRFs are used to defend against denial of service attacks [Ber96, CW03] and even to prove lower bounds in learning theory. In a nutshell, a PRF is indistinguishable from a truly random function. We give precise definitions in the next section. The fastest PRFs are built from block ciphers like AES and security is based on ad-hoc inter- active assumptions. In 1996, Naor and Reingold [NR97] presented an elegant PRF whose security can be deduced from the hardness of the Decision Diffie-Hellman problem (DDH) defined in the next section.
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Remote Side-Channel Attacks on Anonymous Transactions
Remote Side-Channel Attacks on Anonymous Transactions Florian Tramer and Dan Boneh, Stanford University; Kenny Paterson, ETH Zurich https://www.usenix.org/conference/usenixsecurity20/presentation/tramer This paper is included in the Proceedings of the 29th USENIX Security Symposium. August 12–14, 2020 978-1-939133-17-5 Open access to the Proceedings of the 29th USENIX Security Symposium is sponsored by USENIX. Remote Side-Channel Attacks on Anonymous Transactions Florian Tramèr∗ Dan Boneh Kenneth G. Paterson Stanford University Stanford University ETH Zürich Abstract Bitcoin’s transaction graph. The same holds for many other Privacy-focused crypto-currencies, such as Zcash or Monero, crypto-currencies. aim to provide strong cryptographic guarantees for transaction For those who want transaction privacy on a public conﬁdentiality and unlinkability. In this paper, we describe blockchain, systems like Zcash [45], Monero [47], and several side-channel attacks that let remote adversaries bypass these others offer differing degrees of unlinkability against a party protections. who records all the transactions in the network. We focus We present a general class of timing side-channel and in this paper on Zcash and Monero, since they are the two trafﬁc-analysis attacks on receiver privacy. These attacks en- largest anonymous crypto-currencies by market capitaliza- able an active remote adversary to identify the (secret) payee tion. However our approach is more generally applicable, and of any transaction in Zcash or Monero. The attacks violate we expect other anonymous crypto-currencies to suffer from the privacy goals of these crypto-currencies by exploiting similar vulnerabilities. side-channel information leaked by the implementation of Zcash and Monero use fairly advanced cryptographic different system components.
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A Fully Homomorphic Encryption Scheme
A FULLY HOMOMORPHIC ENCRYPTION SCHEME A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Craig Gentry September 2009 °c Copyright by Craig Gentry 2009 All Rights Reserved ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (Dan Boneh) Principal Adviser I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (John Mitchell) I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (Serge Plotkin) Approved for the University Committee on Graduate Studies. iii Abstract We propose the ¯rst fully homomorphic encryption scheme, solving a central open problem in cryptography. Such a scheme allows one to compute arbitrary functions over encrypted data without the decryption key { i.e., given encryptions E(m1);:::;E(mt) of m1; : : : ; mt, one can e±ciently compute a compact ciphertext that encrypts f(m1; : : : ; mt) for any e±- ciently computable function f. This problem was posed by Rivest et al. in 1978. Fully homomorphic encryption has numerous applications. For example, it enables private queries to a search engine { the user submits an encrypted query and the search engine computes a succinct encrypted answer without ever looking at the query in the clear.
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Zero-Knowledge Proofs on Secret-Shared Data Via Fully Linear Pcps∗
Zero-Knowledge Proofs on Secret-Shared Data via Fully Linear PCPs∗ Dan Bonehy Elette Boylez Henry Corrigan-Gibbs§ Niv Gilboa{ Yuval Ishaik August 21, 2019 Abstract We introduce and study the notion of fully linear probabilistically checkable proof systems. In such a proof system, the verifier can make a small number of linear queries that apply jointly to the input and a proof vector. Our new type of proof system is motivated by applications in which the input statement is not fully available to any single verifier, but can still be efficiently accessed via linear queries. This situation arises in scenarios where the input is partitioned or secret-shared between two or more parties, or alternatively is encoded using an additively homomorphic encryption or commitment scheme. This setting appears in the context of secure messaging platforms, verifiable outsourced computation, PIR writing, private computation of aggregate statistics, and secure multiparty computation (MPC). In all these applications, there is a need for fully linear proof systems with short proofs. While several efficient constructions of fully linear proof systems are implicit in the interactive proofs literature, many questions about their complexity are open. We present several new constructions of fully linear zero-knowledge proof systems with sublinear proof size for “simple” or “structured” languages. For example, in the non-interactive setting of fully linear PCPs, we n show how to prove that an inputp vector x 2pF , for a finite field F, satisfies a single degree-2 equation with a proof of size O( n) and O( n) linear queries, which we show to be optimal.
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Data Collection with Self-Enforcing Privacy
Data Collection With Self-Enforcing Privacy Philippe Golle Frank McSherry Ilya Mironov Palo Alto Research Center Microsoft Research Microsoft Research [email protected] [email protected] [email protected] ABSTRACT an untrustworthy pollster who is unable to make concrete Consider a pollster who wishes to collect private, sensitive privacy assurances. data from a number of distrustful individuals. How might The same problem aﬀects individuals who are compelled the pollster convince the respondents that it is trustwor- to provide sensitive data to an untrusted party. Examples thy? Alternately, what mechanism could the respondents such as the census and medical data highlight cases where insist upon to ensure that mismanagement of their data is individuals are compelled to accuracy, either through law or detectable and publicly demonstrable? the threat of poor treatment, but the absence of “privacy We detail this problem, and provide simple data submis- oversight” leaves many uncomfortable. What mechanisms sion protocols with the properties that a) leakage of private can be used to assure individuals that poor privacy discipline data by the pollster results in evidence of the transgression can be caught and publicly demonstrated? and b) the evidence cannot be fabricated without break- We stress that this problem is diﬀerent from the question ing cryptographic assumptions. With such guarantees, a of how the pollster or data collector can manage data to pre- responsible pollster could post a “privacy-bond”, forfeited serve privacy. Privacy preserving data mining research has to anyone who can provide evidence of leakage. The respon- blossomed of late and gives many satisfying answers to this dents are assured that appropriate penalties are applied to question [1].
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Elliptic Curve Cryptography: Invention and Impact: the Invasion of the Number Theorists
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